Fundamentals of statistics
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TextPublication details: Mumbai : Himalaya Publishing House, 2023. Edition: 8th rev. edDescription: page variesISBN: 9789356937505Subject(s): Statistics | Time series analysis | Statistical decision theoryDDC classification: 519.22 Online resources: Table of content Summary: The Eighth revised edition of this indispensable book for all introductory and advance courses in Statistics is intended to cater to the needs of the students preparing for B.Com. (Pass and Honours), B.A. (Economics Honours), M.Com., M.A. (Economics); CA, ICWA, MBA and other management courses. While retaining the basic features of earlier editions, this edition of the book includes New Chapter (Chapter 28 – Linear Programming), and revised and updated material, with a number of distinct features.
SALIENT FEATURES –
– Exhaustive and comprehensive coverage of all the topics on Statistics.
– Step-by-step explanation of basic concepts in simple language.
– Large number of illustrated solved examples to give an insight into the basic concepts and a better understanding of the subject.
– A number of properly graded problems in the exercise sets along with their answers. Hints to ticklish problems are given, wherever necessary.
– Incorporates the examination papers of Indian Universities and professional courses like CA, ICWA and MBA.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Book
|
NISER LIBRARY | 519.22 GUP-F (Browse shelf(Opens below)) | Available | 25591 |
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| 519.22 FRE-S Statistics | 519.22 GAY-C Correlated random system: five diffrent methods | 519.22 GUP-F Fundamentals of mathematical statistics: a modern approach | 519.22 GUP-F Fundamentals of statistics | 519.22 HAS-S Statistical learning with sparsity: the lasso and generalizations | 519.22 HAS-S Statistical learning with sparsity: the lasso and generalizations | 519.22 HOF-F First course in bayesian statistical methods(A) |
The Eighth revised edition of this indispensable book for all introductory and advance courses in Statistics is intended to cater to the needs of the students preparing for B.Com. (Pass and Honours), B.A. (Economics Honours), M.Com., M.A. (Economics); CA, ICWA, MBA and other management courses. While retaining the basic features of earlier editions, this edition of the book includes New Chapter (Chapter 28 – Linear Programming), and revised and updated material, with a number of distinct features.
SALIENT FEATURES –
– Exhaustive and comprehensive coverage of all the topics on Statistics.
– Step-by-step explanation of basic concepts in simple language.
– Large number of illustrated solved examples to give an insight into the basic concepts and a better understanding of the subject.
– A number of properly graded problems in the exercise sets along with their answers. Hints to ticklish problems are given, wherever necessary.
– Incorporates the examination papers of Indian Universities and professional courses like CA, ICWA and MBA.
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